Browsing School of Computer Science and Statistics by Title
Now showing items 458-477 of 2085
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Dacura: A new solution to data harvesting and knowledge extraction for the historical sciences
(2018)New advances in computer science address problems historical scientists face in gathering and evaluating the now vast data sources available through the Internet. As an example we introduce Dacura, a dataset curation ... -
Danger! men at work: a study of the underepresentation of women in third-level engineering
(Department of Education and Science, 2004) -
Data and type optimizations in virtual machine interpreters
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2010)Virtual machines provide a portable platform for the execution of programming languages. They are popular amongst language designers as they simplify the task of developing a language and its features. Programmers benefit ... -
Data Exchange in a Component Based Workflow Environment
(Trinity College Dublin. Department of Computer Science, 1999-09)There is a need to revise existing (successful) software subsystems. One can?t afford to develop a bespoke system, as done previously, so therefore `shrink wrapped solution sets? have to be realised. The problem is how ... -
Data layout oriented compilation techniques in vectorization for multi-/many-cores
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2017)Single instruction, multiple data (SIMD) architectures are widely adopted in both general-purpose processors and graphic processing units for exploiting data-level parallelism. It is tedious and error-prone for programmers ... -
Database Sampling to Support the Development of Data-Intensive Applications
(University of Dublin, Trinity College. Department of Computer Science, 2000-10)A prototype database is a model of a database which exhibits the desired properties, in terms of its schema and/or data values, of an operational database. Database prototyping has been proposed as a technique to support ... -
DCF: An Efficient and Robust Density-Based Clustering Method
(2021)Density-based clustering methods have been shown to achieve promising results in modern data mining applications. A recent approach, Density Peaks Clustering (DPC), detects modes as points with high density and large ... -
DCU-TCD@LogCLEF 2010: Re-ranking Document Collections and Query Performance Estimation
(2010-09-23)Abstract. This paper describes the collaborative participation of Dublin City University and Trinity College Dublin in LogCLEF 2010. Two sets of experiments were conducted. First, different aspects of the TEL query logs ... -
The Decentralised Coordination of Self-Adaptive Components
(University of Dublin, Trinity College. Department of Computer Science, 2004-10)Distributed computing systems are moving towards increasingly autonomous operation and management, in which their interacting components can organise, regulate, repair and optimise themselves without human intervention. ... -
Decentralised detection of emergence in complex adaptive systems
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2016)Emergence is a hallmark of Complex Adaptive Systems (CAS), where non-deterministic interactions between agents can give rise to emergent behaviour or properties at the system level. The nature, timing and consequence of ... -
Decentralising a Service-Oriented Architecture
(2010)Service-oriented computing is becoming an increasingly popular paradigm for modelling and building distributed systems in open and heterogeneous environments. However, proposed service-oriented architectures are typically ... -
Decentralized Authorization for Web Services
(Trinity College Dublin. Department of Computer Science, 2005-09)Web Services is an area that encountered a very sudden and huge explosion on its popularity during the latest years. The advantages Web Services provide compared to traditional distributed computing methods such as Remote ... -
Decentralized Clustering in Pure P2P Overlay Networks Using Schelling's Model
(IEEE, 2007)Clustering involves arranging a P2P overlay network?s topology so that peers having certain characteristics are grouped together as neighbors. Clustering can be used to organize a P2P overlay network so that requests ... -
Decentralized optimization of fluctuating urban traffic using reinforcement learning
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2010) -
Decision-theoretic approaches to display strategies in content based image retrieval
(2004)In this report we continue development of a Bayesian CBIR system by considering the issue of an image display strategy. This is a decision problem and so within the Bayesian paradigm is to be solved by decision theory. ... -
Deep Convolutional Neural Networks for estimating lens distortion parameters
(2019)In this paper we present a convolutional neural network (CNN) to predict multiple lens distortion parameters from a single input image. Unlike other methods, our network is suitable to create high resolution output as ... -
Deep Tone Mapping Operator for High Dynamic Range Images
(2019)A computationally fast tone mapping operator (TMO) that can quickly adapt to a wide spectrum of high dynamic range (HDR) content is quintessential for visualization on varied low dynamic range (LDR) output devices such as ... -
DeepStereoBrush: Interactive Depth Map Creation
(2018)In this paper, we introduce a novel interactive depth map creation approach for image sequences which uses depth-scribbles as input at user-defined keyframes. These scribbled depth values are then propagated within these ...
